Individual-differences multidimensional scaling analysis of neural and cognitive representations
INB Lunch-Seminar
Individual-differences multidimensional scaling analysis of
neural and cognitive representations
Kenneth Whang, PhD
Division of Information and Intelligent Systems,
National Science Foundation
Analyses of the neural systems involved in behavioral and cognitive tasks are typically constrained by (1) prior assumptions of variables of interest, (2) limits on task complexity, and (3) difficulties in reconciling the heterogeneity of individual responses. I will describe an approach to discovering the structure of neural and cognitive representations that derives dimensions of interest in a model-neutral fashion and represents individual variability as a population of vectors in an abstract space. I have tested this approach on three data sets: (1) single-unit neural data from a three-dimensional spatial task, (2) behavioral data from a visual construction judgment, and (3) neural and behavioral data from a tactile attention task.
Zeit: Donnerstag, den 27. Mai 2004, 12 Uhr c.t.
Ort:
Institut für Neuro- und Bioinformatik
Seminarraum (1. OG, Raum 17),
Ratzeburger Allee 160 (Geb. 64, 1. OG)

